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Daniel Queirós Silva

Daniel Queirós Silva

Daniel Queirós da Silva was born in Ermesinde, Porto, Portugal, in 1997. He obtained the M.Sc. degree in Electrical and Computer Engineering from the Faculty of Engineering of the University of Porto (FEUP) in 2020, and the Ph.D. degree in Electrical and Computer Engineering from the University of Trás-os-Montes and Alto Douro (UTAD) in 2024. He is currently a Researcher at INESC Technology and Science (INESC TEC) and an Invited Assistant Lecturer at the School of Engineering of the Polytechnic of Porto (ISEP). His main research interests are perception systems, artificial intelligence, robotics and embedded systems.

Projects

Publications

YOLO-Based Tree Trunk Types Multispectral Perception: A Two-Genus Study at Stand-Level for Forestry Inventory Management Purposes

da Silva, DQ;Dos Santos, FN;Filipe, V;Sousa, AJ;Pires, EJS;

2024

IEEE ACCESS

Assessing Soil Ripping Depth for Precision Forestry with a Cost-Effective Contactless Sensing System

da Silva, DQ;Louro, F;dos Santos, FN;Filipe, V;de Sousa, AJM;Cunha, M;Carvalho, JL;

2023

Robot 2023: Sixth Iberian Robotics Conference - Advances in Robotics, Volume 2, Coimbra, Portugal, 22-24 November 2023.

Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations

da Silva, DQ;Rodrigues, TF;Sousa, AJ;dos Santos, FN;Filipe, V;

2023

PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT II

Deep Learning YOLO-Based Solution for Grape Bunch Detection and Assessment of Biophysical Lesions

Pinheiro, I;Moreira, G;da Silva, DQ;Magalhaes, S;Valente, A;Oliveira, PM;Cunha, M;Santos, F;

2023

AGRONOMY-BASEL

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Centres

Robotics in Industry and Intelligent Systems

At the Centre for Robotics and Intelligent Systems, we develop innovative solutions to leverage robotics in the industrial, agricultural, and forestry contexts, driving the digital transformation of the industry. We take a practical approach - from design to deployment - to test the navigation and localisation of mobile robots, explore advances in 2D/3D industrial vision and advanced detection, while also focusing on industrial and collaborative robotics, as well as human-robot interfaces. Our TRIBE LAB is fertile ground for innovative ideas about the agriculture of the future; we develop prototypes and promote excellence in agricultural robotics and IoT technology: with prototypes, advanced sensors (LiDAR, AI cameras), and rapid prototyping tools, we accelerate the development of solutions for the agroforestry sector. We are also present at the iiLab, where we combine applied research, technological demonstration, and controlled environment testing, promoting the integration of emerging technologies into industry. From intelligent robotic cells and cyber-physical systems to data analysis and AI, it is an innovation space where companies can experiment with and validate solutions for the factory of the future. With a multidisciplinary team, and following European agendas, our research work combines fundamental science and application, impacting the design of solutions for Industry 4.0, fostering competitiveness and the digital transformation of the sector.

Robotics in Industry and Intelligent Systems

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